AL/ML Engineer

Job Summary 

We are seeking a talented Agentic AI Engineer to design,
develop, and deploy advanced AI agents capable of autonomous reasoning,
decision -making, and self -directed task execution. This role
requires expertise in modern AI architecture, reinforcement learning,
multi -agent solution frameworks, and the deployment of agentic AI
solutions. You will collaborate with cross -functional teams to create
intelligent systems that drive business value and innovation. 

Key Responsibilities 

• Design and Development: Build and optimize agentic
  AI systems (e.g., autonomous agents, multi -agent frameworks, LLM -powered
  agents, MCP, RAG, Agent Skills, Context Engineering, Agent Memory) 
  

• Integrate agentic AI
  solutions with existing enterprise platforms and workflows.  
  

• Work closely with
  product, data, and engineering teams to translate business requirements
  into AI solutions 
  

• Monitor
  agent behaviors, diagnose anomalies, and refine
  agent instructions as needed 
  

• Deploying agentic AI agents in
  production environments, ensuring reliability and performance 
  

• Developed feedback loops
  for continuous agent improvement 
  

• Conduct code reviews and
  mentor junior engineers 
  

• Contribute to AI
  architecture, technical standards, and roadmap planning 
  

Required Skills & Qualifications 

• 6+ years of
  hands -on experience in Artificial Intelligence, Machine Learning, or
  related field.  
  

• Knowledge of developing
  Gen AI or AI/ML solutions from use case to production and an understanding
  of agentic or autonomous systems. 
  

• Understanding of
  Infrastructure and DevOps related to Gen AI Use case deployments including
  Cloud environments, Agent Hosting, CICD deployments, docker and
  Kubernetes. 
  

• Proficiency in Python development
  and FastAPI/Flask
  framework along with SQL 
  

• Expertise with
  agentic AI frameworks and concepts  - LangChain, LangGraph, ADK, AutoGen, Model
  Context Protocol (MCP), LLMs, Chain of Thought prompting, knowledge store,
  embeddings  
  

• Experience with RAG
  techniques for knowledge base retrievals from vector DB.  
  

• Prompt engineering
  techniques and fine -tuning  
  

• Hands -on experience
  with model deployment (REST APIs, microservices, or
  cloud -based inference) 
  

• Hands -on experience with
  building user experiences to support agent -based solutions. 
  

• Experience with cloud
  platforms (AWS, Azure, or GCP) and AI services 
  

• Strong problem -solving
  and analytical skills 
  

• Excellent communication
  and cross -functional collaboration abilities 
  

Preferred / Nice -to -Have Skills 

• Understanding of: 
  

• Machine Learning
  algorithms 
  

• Deep Learning (CNNs,
  RNNs, Transformers) 
  

• Natural Language
  Processing (NLP) and/or Computer Vision 
  

• Experience with data
  processing and analysis using NumPy, Pandas, and SQL 
  

• Familiarity
  with MLOps practices (model versioning, monitoring, CI/CD) 
  

• Experience with Generative
  AI and LLMs (OpenAI, Hugging Face, LangChain, RAG
  pipelines) 
  

• Experience with big data
  tools (Spark, Kafka) 
  

• Familiarity with ethical
  AI, bias mitigation, and model governance 
  

• Prior experience leading
  AI initiatives or mentoring teams 
  

What We Offer 

• Competitive compensation
  and benefits 
  

• Flexible work
  arrangements 
  

• Opportunity to work
  on cutting -edge AI and GenAI projects 
  

• Continuous learning and
  professional development 
  

• Collaborative and
  innovation -driven culture